{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "34c156e6",
   "metadata": {},
   "source": [
    "## 题目一"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8f69e31a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "9f7f012c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "        [ 59,   7,  99],\n",
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       "\n",
       "       [[ 75,  51,  34],\n",
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       "        [131,  36,  97],\n",
       "        [ 74, 142, 115],\n",
       "        [126,  35,  68],\n",
       "        [ 64, 143,  64],\n",
       "        [ 76,  20,  39],\n",
       "        [ 18,   3, 136],\n",
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       "        [ 91,  62,  22],\n",
       "        [ 62,  22,  43],\n",
       "        [ 83,   8,  57],\n",
       "        [ 43, 121,  67],\n",
       "        [ 69,   4,  37],\n",
       "        [100,  29,  84],\n",
       "        [ 28,  86,  17],\n",
       "        [ 31,  46,  31],\n",
       "        [129,  26,  82],\n",
       "        [135,  97, 125],\n",
       "        [ 54,  55,  29],\n",
       "        [132,  42,  77],\n",
       "        [ 47,  15,  95],\n",
       "        [126,  39,  35],\n",
       "        [ 69, 140, 140],\n",
       "        [ 75,  68,   9],\n",
       "        [136,  37, 142]]])"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score = np.random.randint(0,150,size = (6,50,3))\n",
    "score"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d5230fc",
   "metadata": {},
   "source": [
    "## 题目二"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "a980d3a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  9,  48,  83],\n",
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       "       [ 30,  85, 107],\n",
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       "       [ 68,   2, 104],\n",
       "       [  0, 126, 124],\n",
       "       [130, 126,  98],\n",
       "       [126, 113,  26],\n",
       "       [143,  24,  88],\n",
       "       [141, 146,  75],\n",
       "       [137, 104,  76],\n",
       "       [147,  87,  76],\n",
       "       [ 62,  28,  22],\n",
       "       [  5, 100, 115],\n",
       "       [ 94, 105,  30],\n",
       "       [ 71, 128,   2],\n",
       "       [ 45, 104,  32],\n",
       "       [ 17,  78,  47],\n",
       "       [ 65, 149,  26],\n",
       "       [ 97,  60, 143],\n",
       "       [ 53,  81, 129],\n",
       "       [ 56,  95,  61],\n",
       "       [143,  76,  23],\n",
       "       [ 52,  75,  28],\n",
       "       [105, 123,   0],\n",
       "       [104,  62,  13],\n",
       "       [145, 102, 110],\n",
       "       [ 50,  24, 147],\n",
       "       [139,  24, 113],\n",
       "       [ 97,  36,  63],\n",
       "       [104, 128, 110],\n",
       "       [100,   4,  49],\n",
       "       [ 90, 137,  63],\n",
       "       [ 41,  75,  67],\n",
       "       [146, 107,  79],\n",
       "       [ 65,  99,  97],\n",
       "       [ 94,  13,  44],\n",
       "       [142, 113,  67],\n",
       "       [ 25,   9, 146],\n",
       "       [ 94, 130, 142],\n",
       "       [122,  66, 127],\n",
       "       [ 96, 139, 143],\n",
       "       [ 63, 123, 102],\n",
       "       [ 82,  31,  79],\n",
       "       [ 42,  85, 147],\n",
       "       [ 62,  99, 143],\n",
       "       [ 23, 105,  84],\n",
       "       [134, 117,  65],\n",
       "       [112,   8,  35],\n",
       "       [117,  85, 107],\n",
       "       [ 49,  23, 142],\n",
       "       [ 19, 127, 143],\n",
       "       [ 91, 147,  76],\n",
       "       [ 59,   7,  99],\n",
       "       [100,  75, 107],\n",
       "       [  2, 118, 147],\n",
       "       [ 75,  51,  34],\n",
       "       [ 87,  28,  61],\n",
       "       [121,  22, 117],\n",
       "       [ 98,  96,  53],\n",
       "       [145,  73, 119],\n",
       "       [  9, 100, 140],\n",
       "       [ 46,  46,  72],\n",
       "       [ 29,  41,  34],\n",
       "       [129, 112,  48],\n",
       "       [ 31, 135,  99],\n",
       "       [ 32,  25, 137],\n",
       "       [ 30,  42,  44],\n",
       "       [ 93,  14,  88],\n",
       "       [ 47,  41,  91],\n",
       "       [ 42,  34,  56],\n",
       "       [ 42,  22, 147],\n",
       "       [  0, 137, 134],\n",
       "       [  5, 140, 108],\n",
       "       [ 21,  39,  65],\n",
       "       [136, 113,  10],\n",
       "       [141,  37,  81],\n",
       "       [ 50, 108,  30],\n",
       "       [ 87,  40,  60],\n",
       "       [ 84,  57, 126],\n",
       "       [ 83,  18,  97],\n",
       "       [120, 132, 135],\n",
       "       [131,  36,  97],\n",
       "       [ 74, 142, 115],\n",
       "       [126,  35,  68],\n",
       "       [ 64, 143,  64],\n",
       "       [ 76,  20,  39],\n",
       "       [ 18,   3, 136],\n",
       "       [ 70, 109,  41],\n",
       "       [ 91,  62,  22],\n",
       "       [ 62,  22,  43],\n",
       "       [ 83,   8,  57],\n",
       "       [ 43, 121,  67],\n",
       "       [ 69,   4,  37],\n",
       "       [100,  29,  84],\n",
       "       [ 28,  86,  17],\n",
       "       [ 31,  46,  31],\n",
       "       [129,  26,  82],\n",
       "       [135,  97, 125],\n",
       "       [ 54,  55,  29],\n",
       "       [132,  42,  77],\n",
       "       [ 47,  15,  95],\n",
       "       [126,  39,  35],\n",
       "       [ 69, 140, 140],\n",
       "       [ 75,  68,   9],\n",
       "       [136,  37, 142]])"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score = score.reshape(300,3)\n",
    "score"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "367435f6",
   "metadata": {},
   "source": [
    "## 题目三"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "1ecf53cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "       [0]])"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sex = np.random.randint(0,2,size = (300,1))\n",
    "sex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "4bbdaa8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  9,  48,  83,   1],\n",
       "       [143,  37,  61,   0],\n",
       "       [ 30,  80,  84,   0],\n",
       "       ...,\n",
       "       [ 69, 140, 140,   0],\n",
       "       [ 75,  68,   9,   0],\n",
       "       [136,  37, 142,   0]])"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = np.concatenate([score,sex],axis = 1)\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31dd3b5a",
   "metadata": {},
   "source": [
    "## 题目四"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "de1eee2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0,\n",
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       "       1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1,\n",
       "       1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1,\n",
       "       0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1,\n",
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       "       1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0])"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sex\n",
    "n_sex = sex.reshape(300) # 转换维度\n",
    "n_sex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "fd4a8ba6",
   "metadata": {},
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    {
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       "       [296]])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "       [ 90],\n",
       "       [ 91],\n",
       "       [ 92],\n",
       "       [ 93],\n",
       "       [ 94],\n",
       "       [100],\n",
       "       [101],\n",
       "       [102],\n",
       "       [103],\n",
       "       [104],\n",
       "       [107],\n",
       "       [108],\n",
       "       [109],\n",
       "       [110],\n",
       "       [111],\n",
       "       [112],\n",
       "       [113],\n",
       "       [115],\n",
       "       [116],\n",
       "       [119],\n",
       "       [123],\n",
       "       [124],\n",
       "       [125],\n",
       "       [132],\n",
       "       [134],\n",
       "       [136],\n",
       "       [138],\n",
       "       [139],\n",
       "       [140],\n",
       "       [142],\n",
       "       [143],\n",
       "       [144],\n",
       "       [146],\n",
       "       [150],\n",
       "       [151],\n",
       "       [155],\n",
       "       [157],\n",
       "       [158],\n",
       "       [159],\n",
       "       [160],\n",
       "       [163],\n",
       "       [164],\n",
       "       [167],\n",
       "       [168],\n",
       "       [169],\n",
       "       [170],\n",
       "       [172],\n",
       "       [173],\n",
       "       [174],\n",
       "       [176],\n",
       "       [184],\n",
       "       [185],\n",
       "       [186],\n",
       "       [187],\n",
       "       [189],\n",
       "       [191],\n",
       "       [193],\n",
       "       [195],\n",
       "       [196],\n",
       "       [200],\n",
       "       [201],\n",
       "       [202],\n",
       "       [207],\n",
       "       [208],\n",
       "       [209],\n",
       "       [211],\n",
       "       [213],\n",
       "       [215],\n",
       "       [216],\n",
       "       [218],\n",
       "       [221],\n",
       "       [224],\n",
       "       [230],\n",
       "       [232],\n",
       "       [234],\n",
       "       [236],\n",
       "       [240],\n",
       "       [242],\n",
       "       [244],\n",
       "       [246],\n",
       "       [248],\n",
       "       [249],\n",
       "       [251],\n",
       "       [252],\n",
       "       [255],\n",
       "       [256],\n",
       "       [258],\n",
       "       [265],\n",
       "       [270],\n",
       "       [272],\n",
       "       [273],\n",
       "       [276],\n",
       "       [278],\n",
       "       [279],\n",
       "       [280],\n",
       "       [282],\n",
       "       [283],\n",
       "       [288],\n",
       "       [289],\n",
       "       [290],\n",
       "       [291],\n",
       "       [292],\n",
       "       [293],\n",
       "       [295],\n",
       "       [297],\n",
       "       [298],\n",
       "       [299]])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m_index = np.argwhere(n_sex>0) # 男生索引\n",
    "\n",
    "w_index = np.argwhere(n_sex==0) # 女生索引\n",
    "display(m_index,w_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "418bc195",
   "metadata": {
    "code_folding": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[  9,  48,  83,   1]],\n",
       "\n",
       "       [[  1,   8,  64,   1]],\n",
       "\n",
       "       [[139,  16,  45,   1]],\n",
       "\n",
       "       [[122,  54, 140,   1]],\n",
       "\n",
       "       [[ 96, 142, 125,   1]],\n",
       "\n",
       "       [[ 88,   1, 140,   1]],\n",
       "\n",
       "       [[114,  16,  31,   1]],\n",
       "\n",
       "       [[101,   5,  39,   1]],\n",
       "\n",
       "       [[ 47,  15,  76,   1]],\n",
       "\n",
       "       [[ 30,  85, 107,   1]],\n",
       "\n",
       "       [[113, 128,  13,   1]],\n",
       "\n",
       "       [[ 60,  38,  62,   1]],\n",
       "\n",
       "       [[115,  32,  90,   1]],\n",
       "\n",
       "       [[147, 136,  17,   1]],\n",
       "\n",
       "       [[ 77, 136,   6,   1]],\n",
       "\n",
       "       [[ 42,   3,  78,   1]],\n",
       "\n",
       "       [[130,  51,  73,   1]],\n",
       "\n",
       "       [[ 35,  95, 134,   1]],\n",
       "\n",
       "       [[101, 100, 123,   1]],\n",
       "\n",
       "       [[ 43,  22,  88,   1]],\n",
       "\n",
       "       [[ 56,   3, 113,   1]],\n",
       "\n",
       "       [[125,  47,   4,   1]],\n",
       "\n",
       "       [[ 43,  33, 135,   1]],\n",
       "\n",
       "       [[ 60,   8,  51,   1]],\n",
       "\n",
       "       [[128,   0, 112,   1]],\n",
       "\n",
       "       [[ 37, 105,  97,   1]],\n",
       "\n",
       "       [[ 26, 100,  25,   1]],\n",
       "\n",
       "       [[ 62,  61,  89,   1]],\n",
       "\n",
       "       [[ 82,  16, 136,   1]],\n",
       "\n",
       "       [[140,   4,  86,   1]],\n",
       "\n",
       "       [[ 11, 105,  74,   1]],\n",
       "\n",
       "       [[ 72, 127,  89,   1]],\n",
       "\n",
       "       [[ 72,  50,  97,   1]],\n",
       "\n",
       "       [[134,  52,  40,   1]],\n",
       "\n",
       "       [[ 94,  55,  75,   1]],\n",
       "\n",
       "       [[132,  49,  30,   1]],\n",
       "\n",
       "       [[ 30, 115,  22,   1]],\n",
       "\n",
       "       [[  0, 128,  19,   1]],\n",
       "\n",
       "       [[ 13,  15, 148,   1]],\n",
       "\n",
       "       [[ 33, 134, 132,   1]],\n",
       "\n",
       "       [[135,  29,  39,   1]],\n",
       "\n",
       "       [[136,  49, 102,   1]],\n",
       "\n",
       "       [[ 84,   0, 101,   1]],\n",
       "\n",
       "       [[ 38,  82,  47,   1]],\n",
       "\n",
       "       [[ 93,   4, 127,   1]],\n",
       "\n",
       "       [[ 10,  97,  88,   1]],\n",
       "\n",
       "       [[ 96,  84, 127,   1]],\n",
       "\n",
       "       [[135, 118,  24,   1]],\n",
       "\n",
       "       [[ 74,  77,  85,   1]],\n",
       "\n",
       "       [[ 34,  57, 107,   1]],\n",
       "\n",
       "       [[ 30,  47,  35,   1]],\n",
       "\n",
       "       [[104,  51, 140,   1]],\n",
       "\n",
       "       [[ 60, 138,  52,   1]],\n",
       "\n",
       "       [[ 29, 138,  67,   1]],\n",
       "\n",
       "       [[136,  84, 132,   1]],\n",
       "\n",
       "       [[ 25,  83,  40,   1]],\n",
       "\n",
       "       [[ 79, 124,  31,   1]],\n",
       "\n",
       "       [[ 25,   9,  76,   1]],\n",
       "\n",
       "       [[ 61,  11,  57,   1]],\n",
       "\n",
       "       [[ 12,  52,  75,   1]],\n",
       "\n",
       "       [[148,  49, 121,   1]],\n",
       "\n",
       "       [[ 89,  65,  49,   1]],\n",
       "\n",
       "       [[104, 107,  43,   1]],\n",
       "\n",
       "       [[ 81,  80,  57,   1]],\n",
       "\n",
       "       [[ 54,   6, 135,   1]],\n",
       "\n",
       "       [[ 11,  83,  36,   1]],\n",
       "\n",
       "       [[ 45,  73,  56,   1]],\n",
       "\n",
       "       [[112, 140, 113,   1]],\n",
       "\n",
       "       [[ 15,  13, 137,   1]],\n",
       "\n",
       "       [[ 65, 147, 104,   1]],\n",
       "\n",
       "       [[ 97,  87, 114,   1]],\n",
       "\n",
       "       [[ 67,  86, 134,   1]],\n",
       "\n",
       "       [[ 39,  70, 104,   1]],\n",
       "\n",
       "       [[ 52,  52,  53,   1]],\n",
       "\n",
       "       [[ 26, 117,  63,   1]],\n",
       "\n",
       "       [[ 75,   3,  69,   1]],\n",
       "\n",
       "       [[  6, 131, 132,   1]],\n",
       "\n",
       "       [[ 61,   9,  87,   1]],\n",
       "\n",
       "       [[ 77,  53,  30,   1]],\n",
       "\n",
       "       [[ 59,  14,   7,   1]],\n",
       "\n",
       "       [[111,  71,  77,   1]],\n",
       "\n",
       "       [[115, 114, 113,   1]],\n",
       "\n",
       "       [[ 58, 119,  23,   1]],\n",
       "\n",
       "       [[107,  40, 106,   1]],\n",
       "\n",
       "       [[128,  61,  61,   1]],\n",
       "\n",
       "       [[ 14, 128, 121,   1]],\n",
       "\n",
       "       [[ 46,  38,  36,   1]],\n",
       "\n",
       "       [[144,  43, 141,   1]],\n",
       "\n",
       "       [[ 68,   3, 103,   1]],\n",
       "\n",
       "       [[110,  97, 124,   1]],\n",
       "\n",
       "       [[ 31,  46, 140,   1]],\n",
       "\n",
       "       [[ 68,   2, 104,   1]],\n",
       "\n",
       "       [[  0, 126, 124,   1]],\n",
       "\n",
       "       [[141, 146,  75,   1]],\n",
       "\n",
       "       [[137, 104,  76,   1]],\n",
       "\n",
       "       [[147,  87,  76,   1]],\n",
       "\n",
       "       [[ 62,  28,  22,   1]],\n",
       "\n",
       "       [[ 45, 104,  32,   1]],\n",
       "\n",
       "       [[ 65, 149,  26,   1]],\n",
       "\n",
       "       [[ 53,  81, 129,   1]],\n",
       "\n",
       "       [[ 52,  75,  28,   1]],\n",
       "\n",
       "       [[104,  62,  13,   1]],\n",
       "\n",
       "       [[145, 102, 110,   1]],\n",
       "\n",
       "       [[139,  24, 113,   1]],\n",
       "\n",
       "       [[ 97,  36,  63,   1]],\n",
       "\n",
       "       [[100,   4,  49,   1]],\n",
       "\n",
       "       [[ 90, 137,  63,   1]],\n",
       "\n",
       "       [[ 41,  75,  67,   1]],\n",
       "\n",
       "       [[146, 107,  79,   1]],\n",
       "\n",
       "       [[ 65,  99,  97,   1]],\n",
       "\n",
       "       [[142, 113,  67,   1]],\n",
       "\n",
       "       [[ 94, 130, 142,   1]],\n",
       "\n",
       "       [[ 96, 139, 143,   1]],\n",
       "\n",
       "       [[ 82,  31,  79,   1]],\n",
       "\n",
       "       [[ 42,  85, 147,   1]],\n",
       "\n",
       "       [[ 62,  99, 143,   1]],\n",
       "\n",
       "       [[134, 117,  65,   1]],\n",
       "\n",
       "       [[117,  85, 107,   1]],\n",
       "\n",
       "       [[ 19, 127, 143,   1]],\n",
       "\n",
       "       [[ 59,   7,  99,   1]],\n",
       "\n",
       "       [[ 75,  51,  34,   1]],\n",
       "\n",
       "       [[ 98,  96,  53,   1]],\n",
       "\n",
       "       [[145,  73, 119,   1]],\n",
       "\n",
       "       [[ 29,  41,  34,   1]],\n",
       "\n",
       "       [[ 31, 135,  99,   1]],\n",
       "\n",
       "       [[ 32,  25, 137,   1]],\n",
       "\n",
       "       [[ 30,  42,  44,   1]],\n",
       "\n",
       "       [[ 93,  14,  88,   1]],\n",
       "\n",
       "       [[ 47,  41,  91,   1]],\n",
       "\n",
       "       [[ 42,  34,  56,   1]],\n",
       "\n",
       "       [[  0, 137, 134,   1]],\n",
       "\n",
       "       [[  5, 140, 108,   1]],\n",
       "\n",
       "       [[ 21,  39,  65,   1]],\n",
       "\n",
       "       [[136, 113,  10,   1]],\n",
       "\n",
       "       [[ 50, 108,  30,   1]],\n",
       "\n",
       "       [[ 83,  18,  97,   1]],\n",
       "\n",
       "       [[120, 132, 135,   1]],\n",
       "\n",
       "       [[ 74, 142, 115,   1]],\n",
       "\n",
       "       [[ 18,   3, 136,   1]],\n",
       "\n",
       "       [[ 62,  22,  43,   1]],\n",
       "\n",
       "       [[ 83,   8,  57,   1]],\n",
       "\n",
       "       [[ 43, 121,  67,   1]],\n",
       "\n",
       "       [[ 69,   4,  37,   1]],\n",
       "\n",
       "       [[132,  42,  77,   1]],\n",
       "\n",
       "       [[126,  39,  35,   1]]])"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 男生集合\n",
    "man_data = data[0:][m_index]\n",
    "man_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "eb16b3be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[143,  37,  61,   0]],\n",
       "\n",
       "       [[ 30,  80,  84,   0]],\n",
       "\n",
       "       [[ 41, 124,   7,   0]],\n",
       "\n",
       "       [[146,  94,  51,   0]],\n",
       "\n",
       "       [[ 52,  42, 134,   0]],\n",
       "\n",
       "       [[ 46,  12,  51,   0]],\n",
       "\n",
       "       [[ 51,   1, 135,   0]],\n",
       "\n",
       "       [[ 50,  46, 106,   0]],\n",
       "\n",
       "       [[142,  43,   8,   0]],\n",
       "\n",
       "       [[ 68,  30,  74,   0]],\n",
       "\n",
       "       [[  1,  11,  18,   0]],\n",
       "\n",
       "       [[ 80,  96,  70,   0]],\n",
       "\n",
       "       [[ 64, 128, 102,   0]],\n",
       "\n",
       "       [[ 53,  85,  27,   0]],\n",
       "\n",
       "       [[148,   9,  37,   0]],\n",
       "\n",
       "       [[138,  28,  60,   0]],\n",
       "\n",
       "       [[147,  25, 137,   0]],\n",
       "\n",
       "       [[ 79, 128, 124,   0]],\n",
       "\n",
       "       [[143,  21, 130,   0]],\n",
       "\n",
       "       [[ 60,  22,   2,   0]],\n",
       "\n",
       "       [[136,  90,  18,   0]],\n",
       "\n",
       "       [[139,  16, 125,   0]],\n",
       "\n",
       "       [[116,  87,  80,   0]],\n",
       "\n",
       "       [[137, 132,  79,   0]],\n",
       "\n",
       "       [[111,  14,  89,   0]],\n",
       "\n",
       "       [[ 57, 120,   1,   0]],\n",
       "\n",
       "       [[ 94,   1,  96,   0]],\n",
       "\n",
       "       [[ 98,  16, 114,   0]],\n",
       "\n",
       "       [[ 33,  18,  10,   0]],\n",
       "\n",
       "       [[ 57, 121,  91,   0]],\n",
       "\n",
       "       [[ 23, 145,  63,   0]],\n",
       "\n",
       "       [[ 73, 113, 101,   0]],\n",
       "\n",
       "       [[ 19,  13, 106,   0]],\n",
       "\n",
       "       [[ 77, 146,  22,   0]],\n",
       "\n",
       "       [[  0, 139,  89,   0]],\n",
       "\n",
       "       [[ 87, 100,  86,   0]],\n",
       "\n",
       "       [[ 93, 115, 133,   0]],\n",
       "\n",
       "       [[ 74, 124, 116,   0]],\n",
       "\n",
       "       [[145,  45, 115,   0]],\n",
       "\n",
       "       [[ 79, 124,  78,   0]],\n",
       "\n",
       "       [[101,  27, 131,   0]],\n",
       "\n",
       "       [[ 16,  55,  50,   0]],\n",
       "\n",
       "       [[147,  10, 146,   0]],\n",
       "\n",
       "       [[ 66, 125, 144,   0]],\n",
       "\n",
       "       [[ 42,  20,  49,   0]],\n",
       "\n",
       "       [[ 98,  93, 128,   0]],\n",
       "\n",
       "       [[ 48, 138, 145,   0]],\n",
       "\n",
       "       [[ 83,  74, 106,   0]],\n",
       "\n",
       "       [[ 54, 113,  25,   0]],\n",
       "\n",
       "       [[  3, 128,  10,   0]],\n",
       "\n",
       "       [[ 97, 121,   8,   0]],\n",
       "\n",
       "       [[123, 131,  26,   0]],\n",
       "\n",
       "       [[ 52,  60,   5,   0]],\n",
       "\n",
       "       [[ 58,  34,  73,   0]],\n",
       "\n",
       "       [[ 15,  18,  20,   0]],\n",
       "\n",
       "       [[ 93,  45,  69,   0]],\n",
       "\n",
       "       [[ 31, 139, 105,   0]],\n",
       "\n",
       "       [[127, 100, 104,   0]],\n",
       "\n",
       "       [[ 39,  87,  98,   0]],\n",
       "\n",
       "       [[ 32, 137,  72,   0]],\n",
       "\n",
       "       [[ 43, 132,  50,   0]],\n",
       "\n",
       "       [[115,  57,  46,   0]],\n",
       "\n",
       "       [[134, 142, 133,   0]],\n",
       "\n",
       "       [[ 52,  43, 123,   0]],\n",
       "\n",
       "       [[ 45, 119, 120,   0]],\n",
       "\n",
       "       [[ 87,  65,   1,   0]],\n",
       "\n",
       "       [[112,  17,  70,   0]],\n",
       "\n",
       "       [[120, 144, 104,   0]],\n",
       "\n",
       "       [[ 92, 132,  29,   0]],\n",
       "\n",
       "       [[104,  39,  91,   0]],\n",
       "\n",
       "       [[  4,  33,  41,   0]],\n",
       "\n",
       "       [[ 80,  16,  59,   0]],\n",
       "\n",
       "       [[ 56,  66,  28,   0]],\n",
       "\n",
       "       [[114,  49,  33,   0]],\n",
       "\n",
       "       [[ 16, 105, 114,   0]],\n",
       "\n",
       "       [[ 37,  92, 116,   0]],\n",
       "\n",
       "       [[ 83,   1, 141,   0]],\n",
       "\n",
       "       [[ 53,  79,  27,   0]],\n",
       "\n",
       "       [[ 62,   8,  39,   0]],\n",
       "\n",
       "       [[ 79, 108,  99,   0]],\n",
       "\n",
       "       [[ 27,  49,  53,   0]],\n",
       "\n",
       "       [[ 82,  15,  76,   0]],\n",
       "\n",
       "       [[ 59, 138,  13,   0]],\n",
       "\n",
       "       [[115, 101,  55,   0]],\n",
       "\n",
       "       [[ 37,  92,  15,   0]],\n",
       "\n",
       "       [[ 92,  86,  97,   0]],\n",
       "\n",
       "       [[ 74, 104, 145,   0]],\n",
       "\n",
       "       [[  6,  97,   0,   0]],\n",
       "\n",
       "       [[ 33,  87,  37,   0]],\n",
       "\n",
       "       [[  3,  80,  82,   0]],\n",
       "\n",
       "       [[140, 100, 128,   0]],\n",
       "\n",
       "       [[119,  17,  89,   0]],\n",
       "\n",
       "       [[115,  59,  36,   0]],\n",
       "\n",
       "       [[102, 143,  41,   0]],\n",
       "\n",
       "       [[130,   9,  32,   0]],\n",
       "\n",
       "       [[116,  86,  36,   0]],\n",
       "\n",
       "       [[ 66,  29, 116,   0]],\n",
       "\n",
       "       [[ 98,   1,  99,   0]],\n",
       "\n",
       "       [[ 55,  56,  20,   0]],\n",
       "\n",
       "       [[ 55, 129,   5,   0]],\n",
       "\n",
       "       [[ 67, 125,   6,   0]],\n",
       "\n",
       "       [[115,   5, 145,   0]],\n",
       "\n",
       "       [[  5,  69,   6,   0]],\n",
       "\n",
       "       [[ 78,   9,  50,   0]],\n",
       "\n",
       "       [[113,  54,  92,   0]],\n",
       "\n",
       "       [[ 17, 131,  55,   0]],\n",
       "\n",
       "       [[ 60,  64,  46,   0]],\n",
       "\n",
       "       [[130, 126,  98,   0]],\n",
       "\n",
       "       [[126, 113,  26,   0]],\n",
       "\n",
       "       [[143,  24,  88,   0]],\n",
       "\n",
       "       [[  5, 100, 115,   0]],\n",
       "\n",
       "       [[ 94, 105,  30,   0]],\n",
       "\n",
       "       [[ 71, 128,   2,   0]],\n",
       "\n",
       "       [[ 17,  78,  47,   0]],\n",
       "\n",
       "       [[ 97,  60, 143,   0]],\n",
       "\n",
       "       [[ 56,  95,  61,   0]],\n",
       "\n",
       "       [[143,  76,  23,   0]],\n",
       "\n",
       "       [[105, 123,   0,   0]],\n",
       "\n",
       "       [[ 50,  24, 147,   0]],\n",
       "\n",
       "       [[104, 128, 110,   0]],\n",
       "\n",
       "       [[ 94,  13,  44,   0]],\n",
       "\n",
       "       [[ 25,   9, 146,   0]],\n",
       "\n",
       "       [[122,  66, 127,   0]],\n",
       "\n",
       "       [[ 63, 123, 102,   0]],\n",
       "\n",
       "       [[ 23, 105,  84,   0]],\n",
       "\n",
       "       [[112,   8,  35,   0]],\n",
       "\n",
       "       [[ 49,  23, 142,   0]],\n",
       "\n",
       "       [[ 91, 147,  76,   0]],\n",
       "\n",
       "       [[100,  75, 107,   0]],\n",
       "\n",
       "       [[  2, 118, 147,   0]],\n",
       "\n",
       "       [[ 87,  28,  61,   0]],\n",
       "\n",
       "       [[121,  22, 117,   0]],\n",
       "\n",
       "       [[  9, 100, 140,   0]],\n",
       "\n",
       "       [[ 46,  46,  72,   0]],\n",
       "\n",
       "       [[129, 112,  48,   0]],\n",
       "\n",
       "       [[ 42,  22, 147,   0]],\n",
       "\n",
       "       [[141,  37,  81,   0]],\n",
       "\n",
       "       [[ 87,  40,  60,   0]],\n",
       "\n",
       "       [[ 84,  57, 126,   0]],\n",
       "\n",
       "       [[131,  36,  97,   0]],\n",
       "\n",
       "       [[126,  35,  68,   0]],\n",
       "\n",
       "       [[ 64, 143,  64,   0]],\n",
       "\n",
       "       [[ 76,  20,  39,   0]],\n",
       "\n",
       "       [[ 70, 109,  41,   0]],\n",
       "\n",
       "       [[ 91,  62,  22,   0]],\n",
       "\n",
       "       [[100,  29,  84,   0]],\n",
       "\n",
       "       [[ 28,  86,  17,   0]],\n",
       "\n",
       "       [[ 31,  46,  31,   0]],\n",
       "\n",
       "       [[129,  26,  82,   0]],\n",
       "\n",
       "       [[135,  97, 125,   0]],\n",
       "\n",
       "       [[ 54,  55,  29,   0]],\n",
       "\n",
       "       [[ 47,  15,  95,   0]],\n",
       "\n",
       "       [[ 69, 140, 140,   0]],\n",
       "\n",
       "       [[ 75,  68,   9,   0]],\n",
       "\n",
       "       [[136,  37, 142,   0]]])"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# 女生集合\n",
    "women_data = data[0:][w_index]\n",
    "women_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "696c4a19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 0, 4, 1]])"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.min(man_data,axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "f8e4cbeb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[148, 149, 148,   1]])"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.max(man_data,axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c2382c42",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "53f8e4df",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "男生：\n",
      "\tPython:\n",
      "\t\t最小值为：0\n",
      "\t\t最大值为：148\n",
      "\t\t平均分为：74.2\n",
      "\t\t中位数为：69.0\n",
      "\t\t标准差为：42.39121574588058\n",
      "\t数学:\n",
      "\t\t最小值为：0\n",
      "\t\t最大值为：149\n",
      "\t\t平均分为：68.4\n",
      "\t\t中位数为：62.0\n",
      "\t\t标准差为：45.91001693718282\n",
      "\t语文:\n",
      "\t\t最小值为：4\n",
      "\t\t最大值为：148\n",
      "\t\t平均分为：80.90344827586208\n",
      "\t\t中位数为：78.0\n",
      "\t\t标准差为：39.96158916758752\n",
      "女生：\n",
      "\tPython:\n",
      "\t\t最小值为：0\n",
      "\t\t最大值为：148\n",
      "\t\t平均分为：77.75483870967741\n",
      "\t\t中位数为：78.0\n",
      "\t\t标准差为：41.09977504615997\n",
      "\t数学:\n",
      "\t\t最小值为：1\n",
      "\t\t最大值为：147\n",
      "\t\t平均分为：71.69677419354839\n",
      "\t\t中位数为：69.0\n",
      "\t\t标准差为：45.18769090083062\n",
      "\t语文:\n",
      "\t\t最小值为：0\n",
      "\t\t最大值为：147\n",
      "\t\t平均分为：73.6774193548387\n",
      "\t\t中位数为：74.0\n",
      "\t\t标准差为：44.53095124906634\n"
     ]
    }
   ],
   "source": [
    "print('男生：')\n",
    "print('\\tPython:')\n",
    "print('\\t\\t最小值为：'+str(np.min(man_data,axis = 0)[0][0]))\n",
    "print('\\t\\t最大值为：'+str(np.max(man_data,axis = 0)[0][0]))\n",
    "print('\\t\\t平均分为：'+str(np.mean(man_data,axis = 0)[0][0]))\n",
    "print('\\t\\t中位数为：'+str(np.median(man_data,axis = 0)[0][0]))\n",
    "print('\\t\\t标准差为：'+str(np.std(man_data,axis = 0)[0][0]))\n",
    "print('\\t数学:')\n",
    "print('\\t\\t最小值为：'+str(np.min(man_data,axis = 0)[0][1]))\n",
    "print('\\t\\t最大值为：'+str(np.max(man_data,axis = 0)[0][1]))\n",
    "print('\\t\\t平均分为：'+str(np.mean(man_data,axis = 0)[0][1]))\n",
    "print('\\t\\t中位数为：'+str(np.median(man_data,axis = 0)[0][1]))\n",
    "print('\\t\\t标准差为：'+str(np.std(man_data,axis = 0)[0][1]))\n",
    "print('\\t语文:')\n",
    "print('\\t\\t最小值为：'+str(np.min(man_data,axis = 0)[0][2]))\n",
    "print('\\t\\t最大值为：'+str(np.max(man_data,axis = 0)[0][2]))\n",
    "print('\\t\\t平均分为：'+str(np.mean(man_data,axis = 0)[0][2]))\n",
    "print('\\t\\t中位数为：'+str(np.median(man_data,axis = 0)[0][2]))\n",
    "print('\\t\\t标准差为：'+str(np.std(man_data,axis = 0)[0][2]))\n",
    "print('女生：')\n",
    "print('\\tPython:')\n",
    "print('\\t\\t最小值为：'+str(np.min(women_data,axis = 0)[0][0]))\n",
    "print('\\t\\t最大值为：'+str(np.max(women_data,axis = 0)[0][0]))\n",
    "print('\\t\\t平均分为：'+str(np.mean(women_data,axis = 0)[0][0]))\n",
    "print('\\t\\t中位数为：'+str(np.median(women_data,axis = 0)[0][0]))\n",
    "print('\\t\\t标准差为：'+str(np.std(women_data,axis = 0)[0][0]))\n",
    "print('\\t数学:')\n",
    "print('\\t\\t最小值为：'+str(np.min(women_data,axis = 0)[0][1]))\n",
    "print('\\t\\t最大值为：'+str(np.max(women_data,axis = 0)[0][1]))\n",
    "print('\\t\\t平均分为：'+str(np.mean(women_data,axis = 0)[0][1]))\n",
    "print('\\t\\t中位数为：'+str(np.median(women_data,axis = 0)[0][1]))\n",
    "print('\\t\\t标准差为：'+str(np.std(women_data,axis = 0)[0][1]))\n",
    "print('\\t语文:')\n",
    "print('\\t\\t最小值为：'+str(np.min(women_data,axis = 0)[0][2]))\n",
    "print('\\t\\t最大值为：'+str(np.max(women_data,axis = 0)[0][2]))\n",
    "print('\\t\\t平均分为：'+str(np.mean(women_data,axis = 0)[0][2]))\n",
    "print('\\t\\t中位数为：'+str(np.median(women_data,axis = 0)[0][2]))\n",
    "print('\\t\\t标准差为：'+str(np.std(women_data,axis = 0)[0][2]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "611f74c0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7a3b7ef",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "462117c4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d8d06c60",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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